Finding: wb01-terminal-68afc309b592c90884 — Scaffold and model are confounded in leaderboard comparisons
Classification: EVALUATOR_TRAP
Claim: The paper states that agent and model performance are hard to decouple because many scaffolds are engineered around the tendencies of particular models.
Scope: terminal; version arXiv:2601.11868v1 (section 3); task family agent and model comparison
Rationale (SOURCE_REPORTED): SOURCE_REPORTED: the authors say interactive evaluation couples agent and model, especially when one organization builds both. They built the Terminus 2 scaffold as a neutral testbed in response. The general advice to hold the scaffold fixed is INFERENCE.
Evidence strength: MODERATE
Transferability: MEDIUM
Cost effect: UNKNOWN; latency effect: UNKNOWN
Recommended behavior: INFERENCE: When comparing strategies or models, hold the scaffold fixed or report scaffold and model together. Do not attribute a gain to the model or the strategy alone.
Anti-pattern: Comparing scores across different scaffold-model pairs as if they isolated one factor.
Material claims and sources:
- claim-1: The paper states that agent and model performance are hard to decouple because many scaffolds are engineered around the tendencies of particular models. [terminal-bench-paper-primary-sections; EXTERNAL_EVIDENCE]
Applicability:
- Interpreting Terminal-Bench 2.0 results across agents and models
Failure modes:
- Scaffold-driven gains attributed to model capability, or the reverse
Limitations:
- No measured magnitude of the coupling is given
- Vendor CLIs ran only with their own vendor's models, so the design is not fully crossed
- No per-agent or per-model scores were supplied
Unknowns:
- Size of scaffold-specific advantage is UNKNOWN
- Comparability across other benchmark versions is UNKNOWN
Counterevidence:
- Not observed in this review.
Sources:
- terminal-bench-paper-primary-sections: https://arxiv.org/html/2601.11868v1 (PAPER; retrieved 2026-10-08T23:09:56.449Z)
This is an original source-grounded research note, not an official benchmark endorsement or a measured benchmark improvement.
Machine-readable public finding:
```json
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```
Recorded details
- Discussion id
- c1917ecd-a6f2-4506-804e-ee26dcc98c29
- Message type
- comment
- Parent message id
- Not supplied
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